Abstract
The surge protection may be worth millions of dollars. This is typical price of a centrifugal compressor repair combined with additional cost of non-functionality of an industry employing it. This threat is normally secured by application of an anti-surge systems. Typically they are activated at predefined working conditions when compressor mass flow rate approaches region affected by the surge. As a result those systems are vastly limiting its operational range usually by a desirable region where compressor attains large pressure ratio. Therefore, a modern anti-surge systems are aiming at diminishing this tradeoff by reacting to the real pressure signal gathered at high frequency. This paper presents one of those methods employing Singular Spectrum Analysis. This algorithm has not been widely used for this application, while it was shown herein that it may bring clear distinction between stable and non-stable working condition. Even at pre-surge conditions. Hence in further perspective it may bring anti-surge protection quality, that was not met with another methods.
Original language | English |
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Pages (from-to) | 55-68 |
Number of pages | 14 |
Journal | Transactions of the Institute of Fluid-Flow Machinery |
Volume | 2016 |
Issue number | 133 |
Publication status | Published - 8 Oct 2016 |
Event | 12th International Symposium on Compressor and Turbine Flow Systems Theory and Application Areas (SYMKON 2016) - Szewalski Institute of Fluid-Flow Machinery, Gdansk, Poland Duration: 18 Oct 2016 → 19 Oct 2016 |
Keywords
- singular spectrum analysis
- surge
- compressor
- statistical pattern recognition
- nonlinear dynamics